Are Public Master’s Institutions Cost Efficient? A Stochastic Frontier and Spatial Analysis

The current study examines costs, measured by educational and general (E&G) spending, and cost efficiency at 252 public master’s institutions in the United States over a nine-year (2004–2012) period. We use a multi-product quadratic cost function and results from a random-effects model with a first-order autoregressive (AR1) disturbance term to calculate economies of scale with regard to undergraduate enrollment, graduate enrollment, and research. We also employ a slightly modified version of Kumbhakar et al. (J Prod Anal 41(2):321–337, 2014) multi-step approach, involving the use of stochastic frontier analysis (SFA) and taking into account spatial interdependency, to decompose cost efficiency into long-term stable (persistent) and short-term (residual) efficiency. The key results of this study include evidence that: (1) regional clustering of costs exists; (2) there are economies of scale in undergraduate education and diseconomies of scale in graduate education; (3) relatively few institutions are cost inefficient; and (4) cost inefficiency tends to be long-term and persistent rather than short-term and residual. This research also identifies public master’s institutions that are the most cost efficient. Our inquiry has implications for future research as it points towards specific institutions, which may be engaged in effective practices to keep costs low, for possible follow-up case studies. Going forward, the techniques used in this study could be applied to examine economies of scale and scope as well as cost efficiency among other types of higher education institutions, such as public or private research universities, baccalaureate institutions, and community colleges.     

The use of Peer Nominations as a Predictor of Academic Success in College

The peer nomination technique was investigated as a predictor of academic success among members of a college freshman class. The technique provided scores which were reliable and which were valid against a grade point ratio criterion. The peer nomination scores were shown to tap variance independent of SAT scores and, therefore, their applicability was suggested in academic counseling as a predictor which can be used to identify students who may face academic difficulties.     

States’ Potential Enrollment of Adult Students: A Stochastic Frontier Analysis

This study shows that financial aspects of state higher education policies, particularly tuition, have an impact on the level of enrollment of adult undergraduates within a state. This study also demonstrates how stochastic frontier analysis (SFA) can be utilized to examine the potential maximum enrollment of adult learners in postsecondary education and generate state-level scores that can be utilized to rank states according to the difference between the potential maximum and actual enrollment of adults in higher education.     

Lehrerbildung und Praxiserfahrung im ersten Berufsjahr und ihre Wirkung auf die Unterrichtskompetenzen von Studierenden und jungen Lehrpersonen im Berufseinstieg

This contribution looks at the competency development during teacher training and entry into work. The multi-perspective research design makes it possible to collate data at five stages within this transition process: at the start (t₁), in the middle (t₂) and on completion (t₃) of teacher training for primary school level (year 1–6) student teachers in two education colleges in Switzerland, as well as novice teachers at the start (t₄) and on competition (t₅) of their first year of work. The data covers eleven topic areas. This paper will present findings of data analysis for two of these topic areas for all five stages of measurement: (a) knowledge of lesson planning was captured using case vignettes and (b) teaching practice during the study program and in the first year of work was recorded on video. The same data was collated from the teaching staff involved in the practical training of the student teachers. The statements on the case vignettes were studied using content-analysis. The lesson videos were analyzed using low-inference coding for the visible occurrences during teaching and with a high-inference rating on the quality of the lessons. The results, including those for a comparison of student teachers and novice teachers with practical teacher training staff, give insights into the effectiveness of teacher training and the impact of practical experience in the first year of work on knowledge of how to plan lessons and on the form and quality of teaching. Overall, the new training at both education colleges can be given a pleasingly positive appraisal in terms of professionalization. It is, however, also possible to recognize where and to what extent a need for further developing the standard of professionalization of teaching still exists.